Plots for simulation scenarios with 80 confidence interval for scenarios 1.1 to 1.4
Xinru WANG
2023-12-13
Final analysis report
Bias, Coverage, MSE
Scenario 1.1
All treatments have equal effects: Tj = 37.5%, j = A, B, C, D
Scenario 1.2
Treatment B is better than treatments A, C and D: \(T_B = 35\%\); and \(T_j = 45\%\), \(j = A, C, D\)
Scenario 1.3
All 4 treatments have different effects (small difference): \(T_A = 30\%\); \(T_B = 35\%\); \(T_C = 40\%\); \(T_D = 45\%\)
Scenario 1.4
All 4 treatments have different effects (large difference): TA = 30%; TB = 40%; TC = 50%; TD = 60%
Mortality gain
Scenario 1.2
Treatment B is better than treatments A, C and D: \(T_B = 35\%\); and \(T_j = 45\%\), \(j = A, C, D\)
Scenario 1.3
All 4 treatments have different effects (small difference): \(T_A = 30\%\); \(T_B = 35\%\); \(T_C = 40\%\); \(T_D = 45\%\)
Scenario 1.4
All 4 treatments have different effects (large difference): TA = 30%;
TB = 40%; TC = 50%; TD = 60%
Power
Scenario 1.2
Treatment B is better than treatments A, C and D: \(T_B = 35\%\); and \(T_j = 45\%\), \(j = A, C, D\)
Scenario 1.3
All 4 treatments have different effects (small difference): \(T_A = 30\%\); \(T_B = 35\%\); \(T_C = 40\%\); \(T_D = 45\%\)
Scenario 1.4
All 4 treatments have different effects (large difference): TA = 30%;
TB = 40%; TC = 50%; TD = 60%
Type 1 error
Scenario 1.1
Running time
